1 citations · 3 across the 23 of their papers we have counts for
28 papers
Annihilation feedback on elastic scattering in self-interacting dark matter
Kalliopi Petraki, Thomas Pignard
Sizable dark-matter self-interactions, motivated by observations of galactic structure, often arise from the exchange of light force mediators. Light mediators can render scatterin…
RobotAPO: Adversarial Physics Preference Optimization for Robotic Manipulation Video Generation
Kerui Li, Zhe Jing, Chenyi Huang +4
Robotic manipulation videos are increasingly used as visual plans for embodied agents, but optimizing purely for visual plausibility often fails to capture the fragile physical man…
Abelian composition factors of finite rational groups
Junying Guo, Yanjun Liu, Huan Xiong
Motivated by an observation concerning the -conjecture, we prove that every abelian composition factor of a finite rational group has order , , or . Thompson previous…
HOPE: Hand-Object Pressure Estimation from Monocular Videos
Subin Jeon, Byungjun Kim, Hanbyul Joo
Estimating physical pressure from vision is essential for understanding contact-rich hand-object interaction. However, prior vision-based pressure estimation methods are largely li…
Robot-Factored World Models via Robot Rendering
Byungjun Kim, Taeksoo Kim, Hyunsoo Cha +1
Action-conditioned video world models predict future observations from an initial observation and an action signal. In robotics, actions influence future observations through two d…
AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection
Mingi Choi, Gunhee Kim, Jisoo Kim +4
Learning robust dexterous grasping requires real-world data that records the physical outcomes of grasp attempts. Such data is hard to obtain at scale: teleoperation yields valid p…
ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning
Jisoo Kim, Sangwon Baik, Taeksoo Kim +6
We present ZeroDex, a zero-shot framework for long-horizon dexterous manipulation that grounds language instructions into executable 3D task plans from calibrated multi-view RGB im…
SimuScene: Simulation-Ready Compositional 3D Scene Reconstruction from a Single Image
Inhee Lee, Sangwon Baik, Sungjoo Kim +3
Reconstructing interactive, simulation-ready 3D scenes from a single image is a critical bottleneck for robotic manipulation. While recent single-image lifters recover plausible pe…
Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision
Hyunsoo Cha, Wonjung Woo, Byungjun Kim +1
We present Vanast, a unified framework that generates garment-transferred human animation videos directly from a single human image, garment images, and a pose guidance video. Conv…
OmniRobotHome: A Multi-Camera Home Platform for Real-Time Human-Robot Interaction
Junyoung Lee, Inhee Lee, Sookwan Han +9
Robots that assist people must respond promptly and appropriately to human activity, which requires low-latency processing, accurate perception, and anticipation of human motion. T…
HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
Jongbin Lim, Taeyun Ha, Mingi Choi +6
We present HRDexDB, a real-world 4D dexterous grasping dataset capturing 3D hand-object interaction trajectories over time across five embodiments. The dataset comprises 3.2K trial…
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents
Sangwon Baik, Gunhee Kim, Mingi Choi +1
Vision-Language Models (VLMs) exhibit strong visual reasoning capabilities, yet they still struggle with 3D understanding. In particular, VLMs often fail to infer a text-consistent…
Dexterous World Models
Byungjun Kim, Taeksoo Kim, Junyoung Lee +1
Recent progress in 3D reconstruction has made it easy to create realistic digital twins from everyday environments. However, current digital twins remain largely static and are lim…
Learning to Generate Human-Human-Object Interactions from Textual Descriptions
Jeonghyeon Na, Sangwon Baik, Inhee Lee +2
The way humans interact with each other, including interpersonal distances, spatial configuration, and motion, varies significantly across different situations. To enable machines…
Audio Driven Real-Time Facial Animation for Social Telepresence
Jiye Lee, Chenghui Li, Linh Tran +5
We present an audio-driven real-time system for animating photorealistic 3D facial avatars with minimal latency, designed for social interactions in virtual reality for anyone. Cen…
Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer
Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
We present Durian, the first method for generating portrait animation videos with cross-identity attribute transfer from one or more reference images to a target portrait. Training…
HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars
Byungjun Kim, Shunsuke Saito, Giljoo Nam +4
We present a universal prior model for 3D head avatars with explicit hair compositionality. Existing approaches to build generalizable priors for 3D head avatars often adopt a holi…
Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Models
Sangwon Baik, Hyeonwoo Kim, Hanbyul Joo
We present a method for learning 3D spatial relationships between object pairs, referred to as object-object spatial relationships (OOR), by leveraging synthetically generated 3D s…
Learning to Transfer Human Hand Skills for Robot Manipulations
Sungjae Park, Seungho Lee, Mingi Choi +4
We present a method for teaching dexterous manipulation tasks to robots from human hand motion demonstrations. Unlike existing approaches that solely rely on kinematics information…
DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models
Hyeonwoo Kim, Sangwon Baik, Hanbyul Joo
Modeling how humans interact with objects is crucial for AI to effectively assist or mimic human behaviors. Existing studies for learning such ability primarily focus on static hum…
PERSE: Personalized 3D Generative Avatars from A Single Portrait
Hyunsoo Cha, Inhee Lee, Hanbyul Joo
We present PERSE, a method for building a personalized 3D generative avatar from a reference portrait. Our avatar enables facial attribute editing in a continuous and disentangled…
GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object Interaction
Patrick Kwon, Chen Chen, Hanbyul Joo
Recent generative models can synthesize high-quality images, but they often fail to generate humans interacting with objects using their hands. This arises mostly from the model's…
Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses
Inhee Lee, Byungjun Kim, Hanbyul Joo
In this paper, we present a method to reconstruct the world and multiple dynamic humans in 3D from a monocular video input. As a key idea, we represent both the world and multiple…
PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
We present PEGASUS, a method for constructing a personalized generative 3D face avatar from monocular video sources. Our generative 3D avatar enables disentangled controls to selec…